Quality Tools

sources of data growing exponentially, establishing and maintaining central control of the quality of the information powering your business is becoming a strategic imperative. Traditional data quality tools offer a poor fit, are frequently expensive to integrate into an existing infrastructure, and offer stitched-together

cannot be integrated based on its definition alone; you need to understand the underlying quality of the data contents. Datanomic's data quality management software, dn:Director, enables disparate views of data to be unified for MDM initiatives. By deploying Datanomic's holistic approach, dn:Director enables users to understand, improve

By using dn:Director to improve data quality and isolate data that is unreliable, organizations are able to optimize the return on investment in BI and Data Warehousing and maximize competitive advantage. Data Quality: The Key to Successful Business Intelligence The Trouble with

Management capabilities enable you to: - Improve development, build management, and quality - Accelerate release cycles through automated release management - Maximize productivity - regardless of team size or location - Minimize overhead through automation and repeatable best practices - Demonstrate compliance with

Get updated information and data quality best practices, from expert Larry English. Find out how to get started, build a business case and structure program teams for data quality success. Successfully implementing information and data quality programs can be challenging -- often

sized" test databases with minimal cost and effort. Optim helps companies improve application quality, speed time to market, and accelerate revenue generation. Your company depends on the accuracy, reliability and quality of its mission-critical applications for every facet of the business. No company can risk losing customers, market share

using a business-model-driven process in support of effective Business Intelligence. The quality of Business Intelligence (BI) depends mostly on the available information behind it. This is particularly evident given such functional improvements in the latest generation of BI tools as much better reporting and analysis functions

paper explores 10 reasons why companies should consider implementing Automated Application Quality Management -- a collection of processes and tools designed to enable predictable, measurable, and optimal application performance and availability. Is your application quality as high as it could be? This white paper brings you up-to-date on

creating a number of total cost of ownership (TCO) burdens, including integrating, understanding tools and maintaining complex data management tools. In this podcast, learn how you can best utilize your IT resources and lower costs when it comes to data management - from centralizing the deployment with a single application to leveraging or

Read this white paper and explore essential architectural quality rules and their individual considerations. Discover a tool that enforces the most important rules automatically during development. For software to be tested effectively, it must be designed from the start with that goal in mind

of hardware and software products, featuring support for thousands of cameras, superior image quality, advanced triggering, and easy-to-use driver software. Hardware options range from plug-in frame grabber cards for PCI, PXI/CompactPCI, and PCI Express to the stand-alone Compact Vision System. Motion Control LabVIEW integrates with motion

Telelogic® DOORS®, the market and technology leader in Requirements Management, increases the quality of systems engineering, business-critical IT and software development projects by improving requirements communication and collaboration. Telelogic® DOORS®, the world's leading requirements management tool, helps you deliver quality

Business intelligence provides a spectrum of tools and solutions, and is the underlying technology behind more effective decision making. Read this paper to learn how business intelligence technology can help run your business more intelligently. Managers have the responsibility to

of corporate information, provides consistency of performance metrics and includes tools necessary to minimize negative supplier impact on corporate finances and daily operations. Explore how you can: -Improve supplier quality and delivery performance -Reduce costs from improved performance -Rapidly identify supplier

migrating data is often underemphasized. Project teams often rely on manual and inconsistant tools and practices when migrating data, which results in labor-intensive project schedules with many that fail to deliver. Poor data migration, integration and quality are common factors in failed or delayed enterprise application projects

Explore data quality impacts, how data quality relates to business issues, and how to integrate data quality monitoring into operational systems. Data quality has often been isolated as a separate silo in the organization, rather than fully integrated into the

can help organizations reach higher levels of process excellence and more rapidly achieve quality objectives. Six Sigma is one of the primary quality initiatives of our time. In today’s rapidly changing and difficult business environment, Six Sigma helps organizations gain improvements in process and product quality. Their success

work load, or conversely, building like-for-like applications faster, cheaper, and with higher quality, compared with lower-level techniques. Thus with MDD there is a separation of the model from the code, the user works on a platform independent model, selects the specific target platform, and the tool generates the code. Productivity is raised

appropriate for both business and IT professionals, hear advice and tips for effective data quality program management from industry expert Evan Levy, partner and co-founder of Baseline Consulting. Leading an enterprise-wide data quality management program is no easy task. Program managers must have a unique combination of skills to

Users should be able to implement complex business rules for data migration or data quality assurance without requiring coding skills or specialist training

costs of managing distributed computing environments, as well as potentially improving the quality of service. Users gain an holistic view of all components in the IT infrastructure; the solution monitors a wide variety of system environments and operational platforms, and can accommodate information from related tools from CA and

and gain a competitive edge with five essential factors that are the building blocks of data quality integration. The quality of any business analysis is only as good as the data at its foundation. Without consistent, accurate and reliable data across the enterprise, an organization may reach misleading, faulty and potentially harmful

Operational and analytical business processes rely on a solid, high-quality data foundation, but companies often neglect data quality until a major problem occurs that could've been avoided. Learn about the benefits and importance of da... Most manufacturers would never think of eliminating the quality control

The paper concludes with a discussion on the transition from data quality strategy development to implementation via data quality project management. This paper discusses: ▪ Goals that drive a data quality strategy ▪ Six factors that should be considered when building a strategy--context, storage, data flow

In this podcast, learn about the evolution of data integration and data quality and the trends that can affect your future data processes. Explore ways you can automate data management and the benefits of moving toward a single data services architecture. Companies fight a constant battle to integrate business data